Using a Multiple Data Warehouse Strategy to Improve BI Analytics

Multiple Data Warehouses Offer Improved Data Sets: White Paper

Executive OverviewIntel is implementing a strategy for multiple business intelligence (BI) data warehouses to provide significantly more powerful analytics capabilities to business groups across Intel. By providing an array of BI platforms, we are helping Intel mine a broader range of data faster, deeper, and more cost-effectively. This expanded architecture enables our business groups to solve more high-value business problems, achieve greater operational efficiencies, and improve their competitive performance in global markets.

For several years, Intel’s BI needs were addressed with a “one size fits all” approach delivered by a centralized enterprise data warehouse (EDW). That solution is no longer adequate. With big data, data sets vary widely and are predominantly unstructured, complex, and in volumes that cannot be managed with traditional relational database methods. To address these limitations, we have introduced this BI strategy to enable business groups to realize greater value from diverse and optimized data sets.

Executive OverviewIntel is implementing a strategy for multiple business intelligence (BI) data warehouses to provide significantly more powerful analytics capabilities to business groups across Intel. By providing an array of BI platforms, we are helping Intel mine a broader range of data faster, deeper, and more cost-effectively. This expanded architecture enables our business groups to solve more high-value business problems, achieve greater operational efficiencies, and improve their competitive performance in global markets.

For several years, Intel’s BI needs were addressed with a “one size fits all” approach delivered by a centralized enterprise data warehouse (EDW). That solution is no longer adequate. With big data, data sets vary widely and are predominantly unstructured, complex, and in volumes that cannot be managed with traditional relational database methods. To address these limitations, we have introduced this BI strategy to enable business groups to realize greater value from diverse and optimized data sets.